2024/02/21 by Ali Alshumrani, Alshumrani, Ali, Nathan Clarke +3
Computer Science · #Cryptography and Security (cs.CR) #Digital Media Forensic Detection #Digital and Cyber Forensics #FOS: Computer and information sciences #Privacy-Preserving Technologies in Data
paper · pdf · doi:10.48550/arxiv.2402.13746
openalex publication_date 2024/02/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The modern digital world is highly heterogeneous, encompassing a wide variety of communications, devices, and services. This interconnectedness generates, synchronises, stores, and presents digital information in multidimensional, complex formats, often fragmented across multiple sources. When linked to misuse, this digital information becomes vital digital evidence. Integrating and harmonising these diverse formats into a unified system is crucial for comprehensively understanding evidence and its relationships. However, existing approaches to date have faced challenges limiting investigators' ability to query heterogeneous evidence across large datasets. This paper presents a novel approach in the form of a modern unified data graph. The proposed approach aims to seamlessly integrate, harmonise, and unify evidence data, enabling cross-platform interoperability, efficient data queries, and improved digital investigation performance. To demonstrate its efficacy, a case study is conducted, highlighting the benefits of the proposed approach and showcasing its effectiveness in enabling the interoperability required for advanced analytics in digital investigations.